AIMC Topic: Signal Processing, Computer-Assisted

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A Method to Estimate Horse Speed per Stride from One IMU with a Machine Learning Method.

Sensors (Basel, Switzerland) Jan 17, 2020
With the emergence of numerical sensors in sports, there is an increasing need for tools and methods to compute objective motion parameters with great accuracy. In particular, inertial measurement units are increasingly used in the clinical domain or...
Gait Horses Accelerometry Animals Machine Learning Equipment Design Signal Processing, Computer-Assisted
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Competitive Learning in a Spiking Neural Network: Towards an Intelligent Pattern Classifier.

Sensors (Basel, Switzerland) Jan 16, 2020
One of the modern trends in the design of human-machine interfaces (HMI) is to involve the so called spiking neuron networks (SNNs) in signal processing. The SNNs can be trained by simple and efficient biologically inspired algorithms. In particular,...
Synaptic Transmission Unsupervised Machine Learning Signal Processing, Computer-Assisted Electromyography Adolescent Neuronal Plasticity Models, Neurological Female Young Adult Adult Male Humans Neural Networks, Computer Algorithms
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Classification of Dried Strawberry by the Analysis of the Acoustic Sound with Artificial Neural Networks.

Sensors (Basel, Switzerland) Jan 16, 2020
In this paper, the authors used an acoustic wave acting as a disturbance (acoustic vibration), which travelled in all directions on the whole surface of a dried strawberry fruit in its specified area. The area of space in which the acoustic wave occu...
Neural Networks, Computer Food Analysis Sound Spectrography Fruit Signal Processing, Computer-Assisted Acoustics Desiccation Fragaria
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An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy.

Sensors (Basel, Switzerland) Jan 15, 2020
In this paper, we investigate various machine learning classifiers used in our Virtual Reality (VR) system for treating acrophobia. The system automatically estimates fear level based on multimodal sensory data and a self-reported emotion assessment....
Diagnosis, Computer-Assisted Deep Learning Electroencephalography Galvanic Skin Response Phobic Disorders Fear Signal Processing, Computer-Assisted Young Adult Heart Rate Humans Adult Anxiety
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Assessment of Laying Hens' Thermal Comfort Using Sound Technology.

Sensors (Basel, Switzerland) Jan 14, 2020
Heat stress is one of the most important environmental stressors facing poultry production and welfare worldwide. The detrimental effects of heat stress on poultry range from reduced growth and egg production to impaired health. Animal vocalisations ...
Vocalization, Animal Support Vector Machine Signal Processing, Computer-Assisted Sound Spectrography Housing, Animal Humidity Animal Welfare Heat Stress Disorders Animals Animal Husbandry Chickens Female Temperature
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Transfer Learning in ECG Classification from Human to Horse Using a Novel Parallel Neural Network Architecture.

Scientific reports Jan 13, 2020
Automatic or semi-automatic analysis of the equine electrocardiogram (eECG) is currently not possible because human or small animal ECG analysis software is unreliable due to a different ECG morphology in horses resulting from a different cardiac inn...
Machine Learning Software Algorithms Humans Neural Networks, Computer Arrhythmias, Cardiac Heart Rate Horses Wavelet Analysis Animals Electrocardiography Signal Processing, Computer-Assisted
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Comparison of different input modalities and network structures for deep learning-based seizure detection.

Scientific reports Jan 10, 2020
The manual review of an electroencephalogram (EEG) for seizure detection is a laborious and error-prone process. Thus, automated seizure detection based on machine learning has been studied for decades. Recently, deep learning has been adopted in ord...
Electroencephalography Seizures Signal Processing, Computer-Assisted Humans Deep Learning Computational Biology
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Real-time prediction of tumor motion using a dynamic neural network.

Medical & biological engineering & computing Jan 8, 2020
Radiation dose delivery into the thoracic and abdomen cavities during radiotherapy treatment is a challenging task as respiratory motion leads to the motion of the target tumor. Real-time repositioning of the treatment beam during radiotherapy requir...
Computer Systems Models, Theoretical Signal Processing, Computer-Assisted Motion Humans Neural Networks, Computer
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Improving long QT syndrome diagnosis by a polynomial-based T-wave morphology characterization.

Heart rhythm Jan 7, 2020
BACKGROUND: Diagnosing long QT syndrome (LQTS) remains challenging because of a considerable overlap in QT interval between patients with LQTS and healthy subjects. Characterizing T-wave morphology might improve LQTS diagnosis.
Electrocardiography Follow-Up Studies Signal Processing, Computer-Assisted Male Humans Middle Aged Machine Learning Genotype Long QT Syndrome Algorithms Reproducibility of Results Adult Retrospective Studies Female
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Fatigue Evaluation through Machine Learning and a Global Fatigue Descriptor.

Journal of healthcare engineering Jan 7, 2020
Research in physiology and sports science has shown that fatigue, a complex psychophysiological phenomenon, has a relevant impact in performance and in the correct functioning of our motricity system, potentially being a cause of damage to the human ...
Heart Rate Young Adult Support Vector Machine Humans Adult Fatigue Signal Processing, Computer-Assisted Machine Learning Male Electromyography Algorithms
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